Artificial immune systems

Aickelin, Uwe and Dasgupta, Dipankar and Gu, Feng (2014) Artificial immune systems. In: Search methodologies: introductory tutorials in optimization and decision support techniques. 2nd edition. Springer, New York, pp. 187-211. ISBN 9781461469391

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Abstract

The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self or nonself substances. It does this with the help of a distributed task force that has the intelligence to take action from a local and also a global perspective using its network of chemical messengers for communication. There are two major branches of the immune system. The innate immune system is an unchanging mechanism that detects and destroys certain invading organisms, whilst the adaptive immune system responds to previously unknown foreign cells and builds a response to them that can remain in the body over a long period of time. This remarkable information processing biological system has caught the attention of computer science in recent years.

Item Type: Book Section
Additional Information: The final publication is available at Springer via http://dx.doi.org/10.1007/978-1-4614-6940-7_7
Keywords: Artificial, Immune, Systems
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 27 Sep 2014 10:34
Last Modified: 18 Sep 2016 05:01
URI: http://eprints.nottingham.ac.uk/id/eprint/3345

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